{"id":"W2009560648","doi":"10.1016/j.ijmedinf.2008.08.002","title":"Comparing the application of Health Information Technology in primary care in Denmark and Andalucía, Spain","year":2008,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Danish; Medical record; Primary care; Medicine; Health care; Family medicine; Health information technology; Software deployment; Nursing; Medical emergency; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004946789,0.0003123492,0.001282629,0.002069638,0.0008767028,0.003768377,0.001167197,0.001343329,0.001428045],"category_scores_gemma":[0.02154583,0.0002798868,0.00100926,0.003422942,0.0008184571,0.0007482753,0.002507693,0.0008202775,0.0001350311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007711281,"about_ca_system_score_gemma":0.005915265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2403632,"about_ca_topic_score_gemma":0.2165109,"domain_scores_codex":[0.9912271,0.003743733,0.0009457456,0.00074056,0.001491956,0.001850967],"domain_scores_gemma":[0.9864497,0.007274489,0.001701152,0.0004381288,0.002405468,0.001731136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003253245,0.000798465,0.9471864,0.0012359,0.0007653022,0.001032841,0.009346195,0.001918692,0.0005688014,0.001117675,0.001691805,0.03108484],"study_design_scores_gemma":[0.00006693459,0.0002302502,0.9904764,0.0001305868,0.0001455145,0.0001046325,0.007139455,0.0002736475,0.00007074241,0.00006075065,0.001289138,0.00001205268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939584,0.002809148,0.00005775522,0.000476203,0.00003812512,0.00003275994,0.0004160832,0.000004785417,0.002206774],"genre_scores_gemma":[0.998541,0.0006642844,0.00007541437,0.000110786,0.00001192283,0.00001750058,0.0002493719,0.000003629838,0.0003261723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2403632,"threshold_uncertainty_score":0.4779283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03573659922243479,"score_gpt":0.4055944825743291,"score_spread":0.3698578833518943,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}